This is AI

In this episode, hosts Erik Brown, EJ, and Ryan Elmore dive into how large language models (LLMs) work and provide a behind-the-scenes look at "Nigel," a generative AI platform developed by West Monroe. The hosts analyze various LLMs, their functionalities, and their real-world implications while offering insights into the balance between technical prowess and practical utility. They also highlight generative AI's current capabilities and debate its future potential across various sectors.In this episode:Compare Different LLMs: The hosts delve into the functionalities and effectiveness of various large language models, providing insights into their comparative advantages and suitable use cases. This segment helps listeners understand how to choose the right model for specific applications.Understand Current Limitations in AI: The episode covers the current state of generative AI, including its limitations and potential future advancements. This discussion is aimed at providing a comprehensive view of where AI technology stands today and what developments might be on the horizon.Get a Behind-the-Scenes Look: Dive into how generative AI and large language models are applied in real-world scenarios, including a detailed look at the interactive platform "Nigel" by West Monroe–and why West Monroe created it.Don't forget! You can watch this series on YouTube

In episode 3 of "This is AI," hosts EJ, Erik Brown, and Ryan Elmore delve into the intricate world of AI prompts, from the most basic to the highly sophisticated. They shed light on the versatility of tools and data, illustrating how different inputs can drastically alter AI outcomes. The episode highlights the journey from crafting simple emails to revolutionizing healthcare solutions using GPT-4. With a special focus on the role of data provision and the absence thereof, the hosts discuss the nuances of prompt engineering and its potential in various sectors. Real-world applications, such as West Monroe’s innovative 'Coverage Oracle' in healthcare, are explored, providing listeners with a comprehensive understanding of the vast potential of generative AI.Watch or listen to this episode to:Dive Deep into the World of Prompts: Understand the vast spectrum of AI prompts, from crafting simple emails to developing advanced healthcare solutions. Discover how the intricacy of a prompt can lead to varied and impactful AI outcomes.Explore the Power of Data and Tools: Learn about the significance of data provision in shaping AI responses and the transformative potential of tools. Delve into the challenges and opportunities that arise when data is either provided or relied upon from other sources.Witness Real-World AI Transformations: Engage with compelling examples, such as West Monroe’s proof-of-concept built for healthcare, the Coverage Oracle. Gain insights into how generative AI, when harnessed correctly, can lead to groundbreaking solutions in diverse sectors.And don't forget to check our Ryan's LinkedIn article about AI in Hollywood: https://www.linkedin.com/pulse/spoiler-alert-misconception-ai-hollywood-ryan-elmore/Learn more about This is AI: https://www.westmonroe.com/perspectives/podcast/this-is-ai

In the inaugural episode of "This is AI," hosts EJ, Erik Brown, and Ryan Elmore from West Monroe lay the groundwork for a series exploring generative AI. They chart the evolution of AI from machine learning and deep learning to generative AI, underscoring its diverse applications. The episode emphasizes viewing AI as a suite of tools and teases future discussions on use cases, practical applications, and the trajectory of large language models.Watch on YoutTube or listen here to this episode to learn about:The Evolution of AI: Discover the journey of AI from machine learning to deep learning and finally to generative AI, and understand how each phase has contributed to the advancements in the field!Static vs. Dynamic Models: Gain insights from Ryan Elmore on how generative AI models remain static while the incoming data is dynamic, offering a fresh perspective on machine learning approaches!Rethinking AI Use Cases: Hear EJ’s spicy take on why we need to rethink our conversation around generative AI use cases and focus on practical applications in products and services!